| Title |
Sp-miR396a-5p acts as a stress-responsive genes regulator by conferring tolerance to abiotic stresses and susceptibility to Phytophthora nicotianae infection in transgenic tobacco
|
|---|---|
| Published in |
Plant Cell Reports, August 2015
|
| DOI | 10.1007/s00299-015-1847-0 |
| Pubmed ID | |
| Authors |
Lei Chen, Yushi Luan, Junmiao Zhai |
| Abstract |
Overexpression of Sp-miR396a-5p in tobacco increased tolerance to salt, drought, cold stress and susceptibility to Phytophthora nicotianae infection. MicroRNA396 (miR396) is one of the conserved microRNA families in plants, and it targeted growth-regulating factors (GRFs) family. The GRF transcription factors are associated with growth and stress responses. However, the molecular mechanisms of miR396 responding to environmental stresses are elusive. The purpose of this study was to explore the function of tomato miR396a-5p (Sp-miR396a-5p) in Solanaceae responses to abiotic and biotic stresses. We showed that Sp-miR396a-5p transcript levels were up-regulated under salt and drought stresses and down-regulated after Phytophthora infestans (P. infestans) infection. Consistently, overexpression of Sp-miR396a-5p in tobacco enhanced its tolerance to salt, drought and cold stresses. Additionally, the expression of Sp-miR396a-5p was found to be down-regulated under pathogen-related biotic stress. Tobacco plants overexpressing Sp-miR396a-5p showed increased susceptibility to Phytophthora nicotianae (P. nicotianae) infection. Physiological analysis indicated that Sp-miR396a-5p overexpression enhanced osmoregulation and decreased production of reactive oxygen species (ROS). Furthermore, four Sp-miR396a-5p target genes, NtGRF1, NtGRF3, NtGRF7 and NtGRF8, were down-regulated in these plants. Our results suggested that Sp-miR396a-5p plays critical roles in both abiotic stresses through targeting NtGRF7-regulated expression of osmotic stress-responsive genes and pathogen infection via the regulatory networks of NtGRF1 and NtGRF3. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 2% |
| India | 1 | 2% |
| Unknown | 63 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 26% |
| Student > Ph. D. Student | 14 | 22% |
| Student > Bachelor | 7 | 11% |
| Student > Master | 6 | 9% |
| Professor > Associate Professor | 4 | 6% |
| Other | 4 | 6% |
| Unknown | 13 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 46% |
| Biochemistry, Genetics and Molecular Biology | 16 | 25% |
| Arts and Humanities | 1 | 2% |
| Computer Science | 1 | 2% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 16 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 September 2016.
All research outputs
#15,342,608
of 22,821,814 outputs
Outputs from Plant Cell Reports
#1,742
of 2,185 outputs
Outputs of similar age
#154,541
of 264,147 outputs
Outputs of similar age from Plant Cell Reports
#5
of 25 outputs
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